Document Type
Article
Language
eng
Format of Original
11 p.
Publication Date
6-2012
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Publication
IEEE Transactions on Industrial Electronics
Source ISSN
0278-0046
Abstract
Computationally efficient finite-element analysis (FEA) (CE-FEA) fully exploits the symmetries of electric and magnetic circuits of sine-wave current-regulated synchronous machines and yields substantial savings of computational efforts. Motor performance is evaluated through Fourier analysis and a minimum number of magnetostatic solutions. The major steady-state performance indices (average torque, ripple and cogging torque, back-electromotive-force waveforms, and core losses) are satisfactorily estimated as compared with the results of detailed time-stepping (transient) FEA. In this paper, the CE-FEA method is presented and applied to a parametric design study for an interior-permanent-magnet machine. Significant reduction of simulation times is achieved (approximately two orders of magnitude), permitting a comprehensive search of large design spaces for optimization purposes. In this case study, the influence of three design variables, namely, stator tooth width, pole arc, and slot opening, on three performance indices, namely, average torque, efficiency, and full-load torque ripple, is examined, and design trends are derived. One hundred candidate designs are simulated in less than 20 minutes on a state-of-the-art workstation.
Recommended Citation
Sizov, Gennadi Y.; Ionel, Dan M.; and Demerdash, Nabeel, "Modeling and Parametric Design of Permanent-Magnet AC Machines Using Computationally Efficient Finite-Element Analysis" (2012). Electrical and Computer Engineering Faculty Research and Publications. 200.
https://epublications.marquette.edu/electric_fac/200
ADA Accessible Version
Comments
Accepted version. IEEE Transactions on Industrial Electronics, Vol. 59, No. 6 (June 2012): 2403-2413. DOI. © 2012 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.